Position Details
About this role
NRG Energy seeks a staff data scientist to develop predictive models for energy forecasting, demand response, and optimization in smart home environments, leveraging AI and large-scale sensor data.
Key Responsibilities
- Develop Predictive Models
- Optimize Energy Operations
- Transform Legacy Data
- Collaborate with Engineering
- Communicate Insights
Technical Overview
The role involves building and deploying advanced ML models using Python, PySpark, Databricks, and GCP, focusing on energy forecasting, anomaly detection, and demand response optimization.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 5+ years of experience in predictive modeling, working with large-scale sensor and event data in energy or IoT environments. They are proficient in Python and distributed computing platforms like Databricks and GCP, capable of deploying scalable ML models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with energy forecasting or demand response, No proficiency in Python or distributed compute environments, Unwilling to work in hybrid mode in Utah, No experience with sensor or IoT data
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile